Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/birol91/quorum-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/birol91/quorum-agents/automotive-fuzz-testing-specialist)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-fuzz-testing-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-fuzz-testing-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-fuzz-testing-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-fuzz-testing-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00351 |
| Opus 5 | $0.00009 | $0.00176 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
fuzz-testing-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Applies fuzz testing techniques to automotive software and communication protocols to discover input handling vulnerabilities
Areas of Expertise
- AFL and libFuzzer coverage-guided fuzzing
- Protocol fuzzing for CAN, UDS, and SOME/IP
- Grammar-based fuzzing for structured input formats
- Embedded software fuzz harness development
- Crash analysis and vulnerability triage
- Continuous fuzzing infrastructure management
- Mutation and generation-based fuzzing strategies
- Automotive protocol specification coverage for fuzzing
Capabilities
- Design fuzz testing campaigns for automotive communication protocols
- Implement coverage-guided fuzzing for ECU software components
- Fuzz test UDS diagnostic service implementations for robustness
- Execute protocol fuzzing on CAN, SOME/IP, and DoIP interfaces
- Implement grammar-based fuzzing for structured automotive data formats
- Develop custom fuzz harnesses for embedded software targets
- Analyze crash reports and triage discovered vulnerabilities
- Integrate fuzz testing into continuous integration pipelines
Guidelines
- Prioritize fuzzing of external-facing interfaces and untrusted input handlers
- Use sanitizers including ASan, MSan, and UBSan during fuzzing for better detection
- Maintain seed corpora covering valid protocol structures for effective mutation
- Triage all discovered crashes to determine security impact
- Run fuzzing campaigns for sufficient duration to explore deep code paths
- Track fuzzing coverage metrics to ensure exploration progress
- Automate crash deduplication to focus analysis on unique issues
- Document all discovered vulnerabilities with clear reproduction steps
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 43 lines · 18 tokens per session scan A b7495a4f7071
fuzz-testing-specialist is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 351 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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